Evidence map›Paper›PMID 39441012›Full record

ArticleJournal of extracellular vesicles2024

Separation of small extracellular vesicles (sEV) from human blood by Superose 6 size exclusion chromatography.

Jerome Nouvel, Gonzalo Bustos-Quevedo, Tony Prinz, Ramsha Masood, George Daaboul, Tanja Gainey-Schleicher, Uwe Wittel, Sophia Chikhladze, Bence Melykuti, Martin Helmstaedter and 3 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Extracellular vesicles: Navigating new frontiers in glioblastoma therapy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jerome NouvelInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.
Gonzalo Bustos-QuevedoInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.
Tony PrinzInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.ORCID 0000-0002-4866-6456
Ramsha MasoodInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.
George DaaboulNanoView Biosciences, Boston, Massachusetts, USA.
Tanja Gainey-SchleicherInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.
Uwe WittelMedical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Freiburg, Germany.
Sophia ChikhladzeMedical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Freiburg, Germany.
Bence MelykutiInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.ORCID 0000-0002-9812-0240
Martin HelmstaedterMedical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Freiburg, Germany.
Karl WinklerMedical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Freiburg, Germany.
Irina NazarenkoInstitute for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.ORCID 0000-0002-2633-1161
Gerhard PützMedical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Freiburg, Germany.

Funding

BMBF 03THW15H03Bundesministerium für Wirtschaft und Technologie NextGen-NTA / KK5185401TS0Horizon 2020 Framework Programme Marie Skłodowska-Curie TRAIN-EV Network / No 7221HORIZON EUROPE European Innovation Council GA 101058200HORIZON EUROPE European Innovation Council NEXUS
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are valuable targets for liquid biopsy. However, attempts to introduce EV-based biomarkers into clinical practice have not been successful to the extent expected. One of the reasons for this failure is the lack of reliable methods for EV baseline purification from complex biofluids, such as cell-free plasma or serum. Because available one-step approaches for EV isolation are insufficient to purify EVs, the majority of studies on clinical samples were performed either on a mixture of EVs and lipoproteins, whilst the real number of EVs and their individual specific biomarker content remained elusive, or on a low number of samples of sufficient volume to allow elaborate 2-step EV separation by size and density, resulting in a high purity but utmost low recovery. Here we introduce Fast Protein Liquid Chromatography (FPLC) using Superose 6 as a matrix to obtain small EVs from biofluids that are almost free of soluble proteins and lipoproteins. Along with the estimation of a realistic number of small EVs in human samples, we show temporal resolution of the effect of the duration of postprandial phase on the proportion of lipoproteins in purified EVs, suggesting acceptable time frames additionally to the recommendation to use fasting samples for human studies. Furthermore, we assessed a potential value of pure EVs for liquid biopsy, exemplarily examining EV- and tumour-biomarkers in pure FPLC-derived fractions isolated from the serum of patients with pancreatic cancer. Consistent among different techniques, showed the presence of diseases-associated biomarkers in pure EVs, supporting the feasibility of using single-vesicle analysis for liquid biopsy.

Indexed as

Chromatography, GelExtracellular VesiclesBiomarkersBiomarkers, TumorHumansLipoproteinsLiquid BiopsyPancreatic NeoplasmsBiomarkersBiomarkers, TumorLipoproteinsbiomarkerextracellular vesiclesfast protein liquid chromatographyliquid biopsypancreatic cancersingle particle interferometric imagingsize exclusion chromatography

Identifiers

PMID39441012
PMCPMC11497763

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.